微小零件的视觉检测系统
|
摘要
针对微小零件的检测问题,开发了一套图像提取与特征点比对相结合的微小零件视觉检测系统。提出了用最大面积法去除轮廓噪声,获得所需的轮廓;提出了基于局部边缘最小二乘拟合线并求交点的特征点获取方法;并采用了实际图形与模板图形对比特征点的方法进行零件的检测,获得零件的误差信息。通过实验验证,所提出的方法能够较好地获取特征点,测量精度高。该方法适用于零件的自动检测,具有很好的鲁棒性。
For the problem of small parts detection,a small part visual inspection system combining image extraction and feature point matching was developed.The maximum area method was proposed to remove the contour noise,and the desired contour was obtained.A feature point acquisition method based on local edge least squares fitting line and intersection point was proposed.And the actual graphics and template graphics feature points comparision method of detection method was used to access to parts error message.The experimental results show that the proposed method can obtain feature points better and have accurate measurement accuracy.This method is suitable for the automatic detection of parts,and has good robustness.
For the problem of small parts detection,a small part visual inspection system combining image extraction and feature point matching was developed.The maximum area method was proposed to remove the contour noise,and the desired contour was obtained.A feature point acquisition method based on local edge least squares fitting line and intersection point was proposed.And the actual graphics and template graphics feature points comparision method of detection method was used to access to parts error message.The experimental results show that the proposed method can obtain feature points better and have accurate measurement accuracy.This method is suitable for the automatic detection of parts,and has good robustness.
引文
[1]唐启敬,田行斌,耿明超,等.CCD视觉检测系统的整体标定[J].光学精密工程,2011,19(8):1903-1909.
[2]CLVY C,HUBERT A,CHAILLET N.Flexible micro-assembly system equipped with an automated tool changer[J].Micro-Nano Mechatronics,Special Issue on Automation in Micro and Nanohandling,2008,4(1):59-60.
[3]叶坤,滕霖,杨卫民,等.小型高精度重力计的微装配技术[J].航空精密制造技术,2009,45(3):14-15.
[4]邵伟平,刘周林,郝永平,等.基于视觉的微装配软件系统[J].计算机与数字工程,2013(2):279-283.
[5]王风梅.基于机器视觉的小件陶瓷管检测系统的研究[D].西安:西安科技大学,2004.
[6]高晟丽.基于机器视觉的工件检测技术研究[D].郑州:解放军信息工程大学,2006.
[7]龙建武,申铉京,陈海鹏.自适应最小误差阈值分割算法[J].自动化学报,2012(7):1134-1144.
[8]潘兵,谢惠民.数字图像相关中基于位移场局部最小二乘拟合的全场应变测量[J].光学学报,2007,27(11):1980-1986.
[2]CLVY C,HUBERT A,CHAILLET N.Flexible micro-assembly system equipped with an automated tool changer[J].Micro-Nano Mechatronics,Special Issue on Automation in Micro and Nanohandling,2008,4(1):59-60.
[3]叶坤,滕霖,杨卫民,等.小型高精度重力计的微装配技术[J].航空精密制造技术,2009,45(3):14-15.
[4]邵伟平,刘周林,郝永平,等.基于视觉的微装配软件系统[J].计算机与数字工程,2013(2):279-283.
[5]王风梅.基于机器视觉的小件陶瓷管检测系统的研究[D].西安:西安科技大学,2004.
[6]高晟丽.基于机器视觉的工件检测技术研究[D].郑州:解放军信息工程大学,2006.
[7]龙建武,申铉京,陈海鹏.自适应最小误差阈值分割算法[J].自动化学报,2012(7):1134-1144.
[8]潘兵,谢惠民.数字图像相关中基于位移场局部最小二乘拟合的全场应变测量[J].光学学报,2007,27(11):1980-1986.